BigR.io makes a rule that our architectural solution fits well with the current application environment. Given a business objective, we identify alternate approaches, explore and then explain tradeoffs between different architectural choices. We bridge understanding from “lines and­ boxes” down to module and code-level development. To bring further value, our consultants help evangelize solutions to technical and nontechnical stakeholders.

Injection of Big Data technologies as first-class design options in order to realize advantages in performance, cost, and simplicity.

ON-PREMISE AND CLOUD-BASED

When choosing between hosting on-premise or in the cloud, you must first understand your workload, risk appetite, and what you are trying to achieve. The market has no shortage of service models, suppliers, and deployment models, with a myriad of cost implications to consider.

The “lift and shift” use case is where the company moves the existing environment completely to the cloud. It eliminates the staffing, maintenance, and capital expenses of traditional infrastructure ownership, and provides cross-region redundancy to fend against man-made and natural disasters. A complete and clean move to the cloud does not always result in optimal cost savings.

Existing systems may be augmented using the “bursting into the cloud” approach where a digital, fast changing presence is established with Big Data analytics, leaving the big product engines behind to retain tight control over security and uptime.

The exact benefit-to-risk equation rests in the analysis of costs while leveraging existing infrastructure. It is crucial to uncover all the hidden costs of each service model before making such a choice. The expert consultants at BigR.io provide the critical insights and knowledge to help you make the right choice, and follow up with tailored implementation guidance, to ensure that you are reaching your business objectives.